Job Description
AMC Global Media is home to many of the greatest stories and characters in TV and film and the premier destination for passionate and engaged fan communities around the world.
We create and curate celebrated series and films across distinct brands and make them available to audiences everywhere. Our portfolio includes targeted streaming services AMC+, Acorn TV, Shudder, Sundance Now, ALLBLK and HIDIVE; cable networks AMC, BBC AMERICA, Independent Film Company, Sundance TV and We TV; and film distribution labels Independent Film Company and RLJE Films. The company also operates AMC Studios, our in-house studio, production, and distribution operation behind acclaimed and fan-favorite originals including The Walking Dead Universe and the Anne Rice Immortal Universe, and AMC Networks International, our international programming business.
We are currently seeking a Director, Product Management & Data Transformation to join our Streaming Product & Operations team in our New York, NY location.
JOB RESPONSIBILITIES:
Data Product Strategy & Transformation
- Define and execute a multi-year Data Product and Analytics strategy aligned with AMC Global Media’s streaming business objectives.
- Lead the transformation from fragmented reporting and instrumentation practices toward a governed, scalable, and trusted data ecosystem.
- Establish product vision, roadmap, and prioritization for data products, analytics capabilities, KPI frameworks, and measurement infrastructure.
- Partner with Product and Engineering leadership to embed data strategy into the broader Streaming Product roadmap.
- Champion a culture of accountability, measurement, and data-driven decision making across the organization.
KPI Governance & Measurement
- Own the product strategy for AMC's KPI framework and measurement ecosystem.
- Establish governance processes for metric definitions, ownership models, and reporting standards.
- Partner with stakeholders to define North Star metrics, product KPIs, and business performance indicators across AMC+, Shudder, Acorn TV, HIDIVE, and future products.
- Ensure consistent metric definitions and reporting across platforms, brands, and teams.
- Drive adoption of KPI ownership throughout the Product organization, leaning into product insights.
Data Governance & Quality
- Partner with Data Engineering to establish a contract-first approach to instrumentation, event taxonomy, and data quality.
- Lead development of governance processes supporting semantic definitions, instrumentation standards, and data stewardship.
- Establish frameworks for data validation, monitoring, audit processes, and issue remediation.
- Co-lead cross-functional governance forums that drive accountability for data quality and reporting consistency.
- Advocate for data quality as a product feature rather than an operational afterthought.
Instrumentation & Analytics Platform Strategy
- Partner with Engineering teams to define instrumentation requirements, event taxonomies, and platform measurement standards.
- Own the business roadmap for analytics platforms and supporting tooling.
- Ensure instrumentation supports reliable measurement of customer engagement, retention, monetization, content consumption, and operational performance.
- Collaborate with technical stakeholders to evaluate and prioritize investments in analytics infrastructure, semantic layers, governance tooling, and analytics platforms.
Data Literacy & Organizational Enablement
- Help product managers, designers, engineers, and executives effectively leverage data to inform decisions.
- Build training, documentation, and operating mechanisms that increase data fluency across teams.
- Establish repeatable KPI reviews, business performance discussions, and product health assessments.
- Promote self-service analytics and democratized access to trusted business metrics.
- Serve as an internal thought leader on measurement strategy and product analytics best practices.
Stakeholder Leadership
- Act as the primary business owner for Data Product initiatives across Streaming Product.
- Present roadmap progress, data maturity goals, KPI health, and transformation outcomes to executive leadership.
- Build alignment across Product, Data Engineering, Engineering, Marketing, CRM, and external partners.
- Manage and mentor product managers and analysts supporting data initiatives.
- Foster a culture of collaboration, transparency, and continuous improvement.
QUALIFICATIONS (Required & Preferred)
Required
- Bachelor’s degree in Business, Data Science, Computer Science, Information Systems, Engineering, Statistics, or a related field; equivalent practical experience will also be considered.
- 8+ years of experience in Product Management, Analytics, Data Product Management, or related disciplines.
- 3+ years leading product, analytics, or data-focused teams.
- Experience building and scaling data products, analytics platforms, measurement frameworks, or data governance programs.
- Deep understanding of KPI design, product analytics, instrumentation strategies, metric governance, and experimentation frameworks.
- Strong ability to translate complex technical concepts into business outcomes.
- Demonstrated success leading cross-functional initiatives involving Product, Engineering, Data, and executive stakeholders.
- Expertise establishing product operating rhythms, KPIs, and performance measurement systems.
- Exceptional communication, stakeholder management, and organizational leadership skills.
Preferred
- Experience with modern analytics ecosystems including Mixpanel, Amplitude, mParticle, dbt, semantic layers, event-based analytics, and customer data platforms.
- Entertainment industry experience a plus
- Experience implementing data governance, instrumentation standards, or analytics transformation programs.
- Familiarity with streaming, subscription, media, or digital platform businesses.
- Knowledge of data quality, observability, taxonomy management, and event-driven architecture.
- Experience building data literacy programs and driving organizational adoption of data-driven practices.
- Understanding of AI, predictive analytics, and modern decision-support systems.
- MBA, Master’s degree, or advanced coursework in Data Science, Analytics, Product Management, Business, or a related discipline; equivalent practical experience will also be considered.
The base compensation for this position is $190,000 - $200,000 commensurate with experience. AMC Global Media additionally offers a comprehensive benefits package including Medical, Dental, Vision, Prescription Drug Coverage, 401k Plan, Wellness Program, Life Insurance, Tuition Reimbursement, Paid Time Off, Paid Parental Leave and Adoption Services, among other benefit plan options, subject to eligibility requirements. AMC Global Media values the benefits achieved through in-office collaboration, but we provide our employees with the flexibility to work from home one day per week.
The Company is committed to policy of nondiscrimination in its employment and personnel practices. Applicants are considered for all employment without regard to race, color, religious creed, religion, alienage, citizenship, gender, gender identity, national origin, ancestry, genetic predisposition or carrier status, age, marital status, familial status, military or veteran status, status as a victim of domestic violence, stalking or sexual assault, sexual orientation, disability or any other characteristic protected by federal, state or local law.
The Company is committed to policy of nondiscrimination in its employment and personnel practices. Applicants are considered for all employment without regard to race, color, religious creed, religion, alienage, citizenship, gender, gender identity, national origin, ancestry, genetic predisposition or carrier status, age, marital status, familial status, military or veteran status, status as a victim of domestic violence, stalking or sexual assault, sexual orientation, disability or any other characteristic protected by federal, state or local law.
